What is high-dimensional data?
The concept of high-dimensionality applies to data sets that contain a high number of variables, so high that it often surpasses the population sample size.
For example, when the number of genes affecting a phenotypes is higher than the number of people the genetic data was drawn from.
This is a statistical problem.
Check these: https://www.statisticshowto.com/dimensionality/#:~:text=High%20Dimensional%20means%20that%20the,tens%20of%20hundreds%20of%20samples.
From the previous post: «Each added variable results in an exponential decrease in predictive power.

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